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Some Interpretative Tools for Non-Symmetrical Correspondence Analysis

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  • Eric Beh
  • Luigi D’Ambra

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  • Eric Beh & Luigi D’Ambra, 2009. "Some Interpretative Tools for Non-Symmetrical Correspondence Analysis," Journal of Classification, Springer;The Classification Society, vol. 26(1), pages 55-76, April.
    • Handle: RePEc:spr:jclass:v:26:y:2009:i:1:p:55-76
    DOI: 10.1007/s00357-009-9025-0
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    References listed on IDEAS

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    1. Yoshio Takane & Haruo Yanai & Shinichi Mayekawa, 1991. "Relationships among several methods of linearly constrained correspondence analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 667-684, December.
    2. Yoshio Takane & Tadashi Shibayama, 1991. "Principal component analysis with external information on both subjects and variables," Psychometrika, Springer;The Psychometric Society, vol. 56(1), pages 97-120, March.
    3. Michael Greenacre, 2008. "Correspondence analysis of raw data," Economics Working Papers 1112, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2009.
    4. Ulf Böckenholt & Ingo Böcknholt, 1990. "Canonical analysis of contingency tables with linear constraints," Psychometrika, Springer;The Psychometric Society, vol. 55(4), pages 633-639, December.
    5. Benasseni, Jacques, 1993. "Perturbational aspects in correspondence analysis," Computational Statistics & Data Analysis, Elsevier, vol. 15(4), pages 393-410, May.
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    Cited by:

    1. Rosaria Lombardo & Eric Beh & Antonello D'Ambra, 2011. "Studying the dependence between ordinal-nominal categorical variables via orthogonal polynomials," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2119-2132.

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